Composite regions in topological queries
Information Systems
Realm-based spatial data types: the ROSE algebra
The VLDB Journal — The International Journal on Very Large Data Bases
A Topological Data Model for Spatial Databases
SSD '89 Proceedings of the First Symposium on Design and Implementation of Large Spatial Databases
A Small Set of Formal Topological Relationships Suitable for End-User Interaction
SSD '93 Proceedings of the Third International Symposium on Advances in Spatial Databases
Set Membership Classification: A Unified Approach to Geometric Intersection Problems
IEEE Transactions on Computers
Fuzzy topological predicates, their properties, and their integration into query languages
Proceedings of the 9th ACM international symposium on Advances in geographic information systems
Identifying topological predicates for vague spatial objects
Proceedings of the 2005 ACM symposium on Applied computing
Topological relationships between complex spatial objects
ACM Transactions on Database Systems (TODS)
Topological feature vectors for exploring topological relationships
International Journal of Geographical Information Science
Geometrically Enhanced Conceptual Modelling
ER '09 Proceedings of the 28th International Conference on Conceptual Modeling
Topological predicates between vague spatial objects
SSTD'05 Proceedings of the 9th international conference on Advances in Spatial and Temporal Databases
A general framework to implement topological relations on composite regions
DEXA'07 Proceedings of the 18th international conference on Database and Expert Systems Applications
Hi-index | 0.00 |
Topological relationships between spatial objects have been a focus of research on spatial data handling and reasoning for a long time. Especially as predicates they support the design of suitable query languages for spatial data retrieval and analysis in databases. Unfortunately, they are so far only applicable to simplified abstractions of spatial objects like single points, continuous lines, and simple regions, as they occur in systems like current geographical information systems and spatial database systems. Since these abstractions are usually not sufficient to cope with the complexity of geographic reality, their generalization is needed which especially has influence on the nature, definition, and number of their topological relationships. This paper partially closes this gap and first introduces very general spatial data types for complex points and complex regions. It then defines the corresponding complete sets of mutually exclusive, topological relationships.